Separate Poster Introduction: http://meetingorganizer.copernicus.org/EMS2015/session/19951

Agriculture is probably the most weather and climate dependent sector of the economy. Securing the world´s demand for food is the uppermost aim of agriculture. The increase of the world population, changing eating habits and the growing interest of the financial market in the food sector have been putting high pressure on agriculture. Environmental issues have to be met though they sometimes conflict with high yield farming business. Above all, both weather and climate are high impact factors on crop yields. At the short time-scale, single weather events such as, e.g. hail storms, can damage the whole harvest of the year. On the other hand, climate change, e.g. a change in precipitation regime with higher frequency and/or intensification of droughts, acts on the long time-scale. Meteorological and climatological information as well as agricultural monitoring are necessary for risk assessment and early warning for risk reduction.

The aims and scope of the session are to present the results of application of meteorological and climate information for agriculture. We invite presentations dealing with:
• Providing agrometeorological information as support for decision making in agricultural production;
• Agrometeorological and phenological modelling (e.g. modelling/parameterisation of meteorologically induced diseases, frost protection warning methods, end-user-software developed for agrometeorological purposes, phenological models of different development stages...);
• Interaction with users of agrometeorological and phenological information;
• Weather and climatic extremes and their impact on agriculture and phenology;
• (New) methods of measurements and observations (e.g. ground based measurements and observations, remote sensed data, combination of both..), use of GIS for spatial interpolation;
• Use of phenological information in crop models, pollen studies;
• Climate change impacts on agriculture and phenology: observed and predicted;
• Phenological and agrometeorological networks.